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                    MLSQL Stack
            
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                    MLSQL Stack体验站点
            
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                    所有版本
            
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                    MLSQL Stack版本管理策略
            
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                    MLSQL Stack 2.0.1版发布
            
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                    MLSQL Stack 2.0.0版发布
            
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                    MLSQL Stack 2.0.1 Bug 合集
            
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                    MLSQL Stack 2.0.0 Bug 合集
            
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                    MLSQL Console 初始配置
            
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                    Yarn部署
            
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                    Analysis Workshop使用
            
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                    软件界面介绍
            
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                    Admin管理后台之Engine配置
            
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                    简单使用示例
            
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                    透视表
            
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                    可视化
            
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                    使用窗口进行数据分析
            
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                    复杂组合条件过滤
            
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                    MySQL数据库配置
            
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                    Json字段展开
            
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                    用MLSQL为Analysis Workshop开发插件
            
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                    MLSQL语言控制台使用
            
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                    简单使用示例
            
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                    MLSQL语法手册
            
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                    Set语法
            
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                    Load语法
            
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                    Select语法
            
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                    Train/Run/Predict语法
            
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                    Register语法
            
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                    Save语法
            
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                    宏语法(命令行)
            
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                    Include语法
            
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                    分支语句
            
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                    MLSQL语法解析接口
            
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                    MLSQL批处理编程
            
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                    MLSQL数仓/数据湖使用
            
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                    Hive加载和存储
            
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                    Delta加载和存储以及流式支持
            
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                    MySQL Binlog同步
            
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                    加载和存储多种数据源
            
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                    JDBC
            
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                    ElasticSearch
            
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                    Solr
            
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                    HBase
            
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                    MongoDB
            
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                    Parquet/Json/Text/Xml/Csv
            
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                <a href="../../datasource/mlsql_source.html">
            
                    
                    jsonStr/script/mlsqlAPI/mlsqlConf
            
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        <li class="chapter " data-level="5.2.3" data-path="../../system_udf/">
            
                <a href="../../system_udf/">
            
                    
                    内置常见UDF
            
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                    http请求
            
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                    常见函数
            
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                    一些有用的内置ET
            
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                    计算复杂的父子关系
            
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        <li class="chapter " data-level="5.2.4.2" data-path="../../process/estimator_transformer/RepartitionExt.html">
            
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                    改变表的分区数
            
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        <li class="chapter " data-level="5.2.4.3" data-path="../../process/estimator_transformer/SendMessage.html">
            
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                    如何发送邮件
            
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        <li class="chapter " data-level="5.2.4.4" data-path="../../process/estimator_transformer/mlsql-watcher.html">
            
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                    数据采集组件mlsql-watcher使用
            
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        <li class="chapter " data-level="5.3" data-path="../../stream/">
            
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                    MLSQL流编程
            
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        <li class="chapter " data-level="5.3.1" data-path="../../stream/datasource.html">
            
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                    Kafka和MockStream
            
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        <li class="chapter " data-level="5.3.2" data-path="../../stream/kakfa_tool.html">
            
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                    MLSQL Kafka小工具集锦
            
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        <li class="chapter " data-level="5.3.3" data-path="../../stream/data_convert.html">
            
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                    自动将Kafka中的JSON数据展开为表
            
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                    如何高效的AdHoc查询Kafka
            
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                    如何设置流式计算回调
            
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        <li class="chapter " data-level="5.3.6" data-path="../../stream/batch.html">
            
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                    如何对流的结果以批的形式保存
            
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        <li class="chapter " data-level="5.3.7" data-path="../../stream/window_wartermark.html">
            
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                    window/watermark的使用
            
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                    如何使用MLSQL流式更新MySQL数据
            
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        <li class="chapter " data-level="5.3.9" data-path="../../stream/web_console.html">
            
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                    流结果输出到WebConsole
            
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        <li class="chapter " data-level="5.4" data-path="../../ml/">
            
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                    MLSQL机器学习编程
            
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                    特征工程
            
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        <li class="chapter " data-level="5.4.1.1" data-path="../../feature/nlp.html">
            
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                    文本向量化
            
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                    TFIDF
            
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                    Word2Vec
            
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                    特征平滑
            
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        <li class="chapter " data-level="5.4.1.3" data-path="../../feature/normalize.html">
            
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                    归一化
            
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        <li class="chapter " data-level="5.4.1.4" data-path="../../feature/confusion_matrix.html">
            
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                    混淆矩阵
            
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        <li class="chapter " data-level="5.4.1.5" data-path="../../feature/some_extract.html">
            
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                    QQ/电话/邮件抽取
            
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        <li class="chapter " data-level="5.4.1.6" data-path="../../feature/discretizer/">
            
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                    离散化
            
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        <li class="chapter " data-level="5.4.1.6.1" data-path="../../feature/discretizer/bucketizer.html">
            
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                    Bucketizer
            
                </a>
            

            
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        <li class="chapter " data-level="5.4.1.6.2" data-path="../../feature/discretizer/quantile.html">
            
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                    Quantile
            
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            </ul>
            
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        <li class="chapter " data-level="5.4.1.7" data-path="../../feature/vecmap.html">
            
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                    Map转化为向量
            
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        <li class="chapter " data-level="5.4.1.8" data-path="../../feature/rate_sample.html">
            
                <a href="../../feature/rate_sample.html">
            
                    
                    数据集切分
            
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            </ul>
            
        </li>
    
        <li class="chapter " data-level="5.4.2" data-path="../../python/">
            
                <a href="../../python/">
            
                    
                    MLSQL Python支持
            
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        <li class="chapter " data-level="5.4.2.1" data-path="../../python/env.html">
            
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                    环境依赖
            
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        <li class="chapter " data-level="5.4.2.2" data-path="../../python/etl.html">
            
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                    数据处理
            
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        <li class="chapter " data-level="5.4.2.3" data-path="../../python/train.html">
            
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                    模型训练
            
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        <li class="chapter " data-level="5.4.2.4" data-path="../../python/pyjava.html">
            
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                    PyJava API简介
            
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        <li class="chapter " data-level="5.4.2.5" data-path="../../python/read_excel.html">
            
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                    结合Python读取Excel
            
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        <li class="chapter " data-level="5.4.2.6" data-path="../../python/write_excel.html">
            
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                    结合Python保存Excel
            
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        <li class="chapter " data-level="5.4.2.7" data-path="../../python/resource.html">
            
                <a href="../../python/resource.html">
            
                    
                    K8s下的Python资源限制
            
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        <li class="chapter " data-level="5.4.2.8" data-path="../../python/datamode.html">
            
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                    dataMode 详解
            
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        <li class="chapter " data-level="5.4.2.9" data-path="../../python/py_paralell.html">
            
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                    Python并行度你所需要知道的
            
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        </li>
    
        <li class="chapter " data-level="5.4.3" data-path="../../algs/">
            
                <a href="../../algs/">
            
                    
                    MLSQL内置算法
            
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        <li class="chapter " data-level="5.4.3.1" data-path="../../algs/kmeans.html">
            
                <a href="../../algs/kmeans.html">
            
                    
                    KMeans
            
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        <li class="chapter " data-level="5.4.3.2" data-path="../../algs/naive_bayes.html">
            
                <a href="../../algs/naive_bayes.html">
            
                    
                    NaiveBayes
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.4.3.3" data-path="../../algs/als.html">
            
                <a href="../../algs/als.html">
            
                    
                    ALS
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.4.3.4" data-path="../../algs/random_forest.html">
            
                <a href="../../algs/random_forest.html">
            
                    
                    RandomForest
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.4.3.5" data-path="../../algs/lda.html">
            
                <a href="../../algs/lda.html">
            
                    
                    LDA
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.4.3.6" data-path="../../algs/xgboost.html">
            
                <a href="../../algs/xgboost.html">
            
                    
                    XGBoost
            
                </a>
            

            
        </li>
    

            </ul>
            
        </li>
    
        <li class="chapter " data-level="5.4.4" data-path="../../dl/">
            
                <a href="../../dl/">
            
                    
                    基于Java的深度学习框架集成
            
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        <li class="chapter " data-level="5.4.4.1" data-path="../../dl/load_image.html">
            
                <a href="../../dl/load_image.html">
            
                    
                    加载图片数据
            
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        <li class="chapter " data-level="5.4.4.2" data-path="../../dl/cifar10.html">
            
                <a href="../../dl/cifar10.html">
            
                    
                    Cifar10示例
            
                </a>
            

            
        </li>
    

            </ul>
            
        </li>
    
        <li class="chapter " data-level="5.4.5" data-path="../../api_deploy/">
            
                <a href="../../api_deploy/">
            
                    
                    部署算法API服务
            
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        <li class="chapter " data-level="5.4.5.1" data-path="../../api_deploy/design.html">
            
                <a href="../../api_deploy/design.html">
            
                    
                    设计和原理
            
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        </li>
    
        <li class="chapter " data-level="5.4.5.2" data-path="../../api_deploy/case.html">
            
                <a href="../../api_deploy/case.html">
            
                    
                    部署流程
            
                </a>
            

            
        </li>
    

            </ul>
            
        </li>
    

            </ul>
            
        </li>
    
        <li class="chapter " data-level="5.5" data-path="../../udf/">
            
                <a href="../../udf/">
            
                    
                    MLSQL动态创建UDF/UDAF
            
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            <ul class="articles">
                
    
        <li class="chapter " data-level="5.5.1" data-path="../../udf/python_udf.html">
            
                <a href="../../udf/python_udf.html">
            
                    
                    Python UDF
            
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        <li class="chapter " data-level="5.5.2" data-path="../../udf/scala_udf.html">
            
                <a href="../../udf/scala_udf.html">
            
                    
                    Scala UDF
            
                </a>
            

            
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        <li class="chapter " data-level="5.5.3" data-path="../../udf/scala_udaf.html">
            
                <a href="../../udf/scala_udaf.html">
            
                    
                    Scala UDAF
            
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        <li class="chapter " data-level="5.5.4" data-path="../../udf/java_udf.html">
            
                <a href="../../udf/java_udf.html">
            
                    
                    Java UDF
            
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        </li>
    

            </ul>
            
        </li>
    

    
        
        <li class="header">安全与隐私</li>
        
        
    
        <li class="chapter " data-level="6.1" data-path="../../security/sum.html">
            
                <a href="../../security/sum.html">
            
                    
                    安全与隐私
            
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        <li class="chapter " data-level="6.1.1" data-path="../../security/">
            
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                    MLSQL Engine 接口访问控制
            
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                    接口访问Token设置
            
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        </li>
    
        <li class="chapter " data-level="6.1.1.2" data-path="../../security/custom_control.html">
            
                <a href="../../security/custom_control.html">
            
                    
                    自定义接口访问策略
            
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        </li>
    

            </ul>
            
        </li>
    
        <li class="chapter " data-level="6.1.2" data-path="../../security/sum2.html">
            
                <a href="../../security/sum2.html">
            
                    
                    授权用户对数据的访问控制
            
                </a>
            

            
            <ul class="articles">
                
    
        <li class="chapter " data-level="6.1.2.1" data-path="../../security/compile_time.html">
            
                <a href="../../security/compile_time.html">
            
                    
                    解析时表权限
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="6.1.2.2" data-path="../../security/runtime_time.html">
            
                <a href="../../security/runtime_time.html">
            
                    
                    运行时表/列权限
            
                </a>
            

            
        </li>
    

            </ul>
            
        </li>
    

            </ul>
            
        </li>
    

    
        
        <li class="header">性能与资源</li>
        
        
    
        <li class="chapter " data-level="7.1" data-path="../../resources/dynamic_resource.html">
            
                <a href="../../resources/dynamic_resource.html">
            
                    
                    动态资源调整
            
                </a>
            

            
        </li>
    

    
        
        <li class="header">插件/API/商店</li>
        
        
    
        <li class="chapter " data-level="8.1" data-path="../../store/">
            
                <a href="../../store/">
            
                    
                    MLSQL 脚本商店和插件
            
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        <li class="chapter " data-level="8.1.1" data-path="../../store/save_excel.html">
            
                <a href="../../store/save_excel.html">
            
                    
                    脚本插件save_excel
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="8.1.2" data-path="../../plugin/">
            
                <a href="../../plugin/">
            
                    
                    MLSQL Engine插件
            
                </a>
            

            
            <ul class="articles">
                
    
        <li class="chapter " data-level="8.1.2.1" data-path="../../plugin/online_install.html">
            
                <a href="../../plugin/online_install.html">
            
                    
                    网络安装插件
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="8.1.2.2" data-path="../../plugin/offline_install.html">
            
                <a href="../../plugin/offline_install.html">
            
                    
                    离线安装插件
            
                </a>
            

            
        </li>
    

            </ul>
            
        </li>
    

            </ul>
            
        </li>
    
        <li class="chapter " data-level="8.2" data-path="../../api/sum.html">
            
                <a href="../../api/sum.html">
            
                    
                    API on（Console/Engine）介绍
            
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            <ul class="articles">
                
    
        <li class="chapter " data-level="8.2.1" data-path="../../developer/">
            
                <a href="../../developer/">
            
                    
                    MLSQL Console API指南
            
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        <li class="chapter " data-level="8.2.1.1" data-path="../../developer/script_api.html">
            
                <a href="../../developer/script_api.html">
            
                    
                    脚本获取接口
            
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        </li>
    
        <li class="chapter " data-level="8.2.1.2" data-path="../../developer/script_run_api.html">
            
                <a href="../../developer/script_run_api.html">
            
                    
                    脚本执行代理接口
            
                </a>
            

            
        </li>
    

            </ul>
            
        </li>
    
        <li class="chapter " data-level="8.2.2" data-path="../../api/README.md">
            
                <span>
            
                    
                    MLSQL Engine Rest接口详解
            
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        <li class="chapter " data-level="8.2.2.1" data-path="../../api/run-script.html">
            
                <a href="../../api/run-script.html">
            
                    
                    脚本执行接口
            
                </a>
            

            
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        <li class="chapter " data-level="8.2.2.2" data-path="../../api/code_suggest.html">
            
                <a href="../../api/code_suggest.html">
            
                    
                    代码提示接口
            
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            </ul>
            
        </li>
    
        <li class="chapter " data-level="8.2.3" data-path="../../resources/liveness.html">
            
                <a href="../../resources/liveness.html">
            
                    
                    MLSQL Engine Liveness探针
            
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        <li class="chapter " data-level="8.2.4" data-path="../../resources/readiness.html">
            
                <a href="../../resources/readiness.html">
            
                    
                    MLSQL Engine Readness探针
            
                </a>
            

            
        </li>
    

            </ul>
            
        </li>
    

    
        
        <li class="divider"></li>
        
        
    
        <li class="chapter " data-level="9.1" data-path="../../qa/">
            
                <a href="../../qa/">
            
                    
                    常见问题
            
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        <li class="chapter " data-level="9.1.1" data-path="../../qa/upload_file.html">
            
                <a href="../../qa/upload_file.html">
            
                    
                    文件上传失败怎么办
            
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        </li>
    
        <li class="chapter " data-level="9.1.2" data-path="../../qa/home.html">
            
                <a href="../../qa/home.html">
            
                    
                    个人主目录是个啥
            
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        <li class="chapter " data-level="9.1.3" data-path="../../qa/session_isolated.html">
            
                <a href="../../qa/session_isolated.html">
            
                    
                    会话隔离/并发执行/调试执行/定时任务
            
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        <li class="chapter " data-level="9.1.4" data-path="../../qa/cdh_hdp.html">
            
                <a href="../../qa/cdh_hdp.html">
            
                    
                    CDH/HDP 怎么运行MLSQL Engine
            
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        <li class="chapter " data-level="9.1.5" data-path="../../qa/debug_log.html">
            
                <a href="../../qa/debug_log.html">
            
                    
                    排查错误，三个系统的日志你都要看
            
                </a>
            

            
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        <li class="chapter " data-level="9.1.6" data-path="../../qa/mlsql_cluster.html">
            
                <a href="../../qa/mlsql_cluster.html">
            
                    
                    听说mlsql-cluster暂时不更新了，mlsql-cluster是个啥？
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="9.1.7" data-path="../../qa/mlsql-docker-image.html">
            
                <a href="../../qa/mlsql-docker-image.html">
            
                    
                    MLSQL K8s部署，镜像环境如何制作
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="9.1.8" >
            
                <a target="_blank" href="https://zhuanlan.zhihu.com/p/138405931">
            
                    
                    写SQL如何避免拷贝黏贴
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="9.1.9" >
            
                <a target="_blank" href="https://zhuanlan.zhihu.com/p/138475580">
            
                    
                    如何将SQL封装成命令调用
            
                </a>
            

            
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        <li class="chapter " data-level="9.1.10" data-path="../../qa/load_jdbc.html">
            
                <a href="../../qa/load_jdbc.html">
            
                    
                    加载JDBC(如MySQL，Oracle)数据常见困惑
            
                </a>
            

            
        </li>
    

            </ul>
            
        </li>
    
        <li class="chapter " data-level="9.2" >
            
                <span>
            
                    
                    最佳实践
            
                </span>
            

            
        </li>
    

    
        
        <li class="header">开发者指南</li>
        
        
    
        <li class="chapter " data-level="10.1" data-path="../../dev_guide/engine/">
            
                <a href="../../dev_guide/engine/">
            
                    
                    MLSQL Engine开发环境设置
            
                </a>
            

            
            <ul class="articles">
                
    
        <li class="chapter " data-level="10.1.1" data-path="../../dev_guide/engine/spark_2_4_3.html">
            
                <a href="../../dev_guide/engine/spark_2_4_3.html">
            
                    
                    Spark 2.4.3开发环境
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="10.1.2" data-path="../../dev_guide/engine/spark_3_0_0.html">
            
                <a href="../../dev_guide/engine/spark_3_0_0.html">
            
                    
                    Spark 3.0.0开发环境
            
                </a>
            

            
        </li>
    

            </ul>
            
        </li>
    
        <li class="chapter " data-level="10.2" data-path="../../dev_guide/engine/plugin/ET_README.html">
            
                <a href="../../dev_guide/engine/plugin/ET_README.html">
            
                    
                    ET插件开发
            
                </a>
            

            
            <ul class="articles">
                
    
        <li class="chapter " data-level="10.2.1" data-path="../../dev_guide/engine/plugin/et.html">
            
                <a href="../../dev_guide/engine/plugin/et.html">
            
                    
                    ET插件开发
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="10.2.2" data-path="../../dev_guide/engine/plugin/et_command.html">
            
                <a href="../../dev_guide/engine/plugin/et_command.html">
            
                    
                    命令行开发
            
                </a>
            

            
        </li>
    

            </ul>
            
        </li>
    
        <li class="chapter " data-level="10.3" data-path="../../dev_guide/engine/plugin/OTHER_README.html">
            
                <a href="../../dev_guide/engine/plugin/OTHER_README.html">
            
                    
                    其他插件开发
            
                </a>
            

            
            <ul class="articles">
                
    
        <li class="chapter " data-level="10.3.1" data-path="../../dev_guide/engine/plugin/ds.html">
            
                <a href="../../dev_guide/engine/plugin/ds.html">
            
                    
                    自定义数据源插件开发
            
                </a>
            

            
        </li>
    

            </ul>
            
        </li>
    

    
        
        <li class="header">附录</li>
        
        
    
        <li class="chapter " data-level="11.1" data-path="../../extra/commands.html">
            
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                    常见宏命令
            
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        </li>
    
        <li class="chapter " data-level="11.2" >
            
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                    附录二：
            
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                                <div id="anchor-navigation-ex-navbar"><i class="fa fa-navicon"></i><ul><li><span class="title-icon "></span><a href="#k8s&#x90E8;&#x7F72;"><b></b>K8S&#x90E8;&#x7F72;</a></li><ul><li><span class="title-icon "></span><a href="#&#x914D;&#x7F6E;&#x6587;&#x4EF6;&#x793A;&#x4F8B;"><b></b>&#x914D;&#x7F6E;&#x6587;&#x4EF6;&#x793A;&#x4F8B;</a></li><ul><li><span class="title-icon "></span><a href="#&#x9700;&#x8981;&#x6CE8;&#x610F;&#x7684;&#x914D;&#x7F6E;&#x70B9;-podip"><b></b>&#x9700;&#x8981;&#x6CE8;&#x610F;&#x7684;&#x914D;&#x7F6E;&#x70B9;-POD_IP</a></li><li><span class="title-icon "></span><a href="#&#x9700;&#x8981;&#x6CE8;&#x610F;&#x7684;&#x914D;&#x7F6E;&#x70B9;-serviceaccountname"><b></b>&#x9700;&#x8981;&#x6CE8;&#x610F;&#x7684;&#x914D;&#x7F6E;&#x70B9;-serviceAccountName</a></li><li><span class="title-icon "></span><a href="#&#x9700;&#x8981;&#x6CE8;&#x610F;&#x7684;&#x914D;&#x7F6E;&#x70B9;-java&#x53C2;&#x6570;&#x914D;&#x7F6E;"><b></b>&#x9700;&#x8981;&#x6CE8;&#x610F;&#x7684;&#x914D;&#x7F6E;&#x70B9;-Java&#x53C2;&#x6570;&#x914D;&#x7F6E;</a></li><li><span class="title-icon "></span><a href="#&#x5982;&#x4F55;&#x83B7;&#x53D6;&#x914D;&#x7F6E;&#x4E2D;&#x7684;&#x955C;&#x50CF;"><b></b>&#x5982;&#x4F55;&#x83B7;&#x53D6;&#x914D;&#x7F6E;&#x4E2D;&#x7684;&#x955C;&#x50CF;</a></li><li><span class="title-icon "></span><a href="#mlsql-engine-jar&#x5305;&#x5982;&#x4F55;&#x653E;&#x5230;&#x955C;&#x50CF;&#x91CC;"><b></b>MLSQL Engine Jar&#x5305;&#x5982;&#x4F55;&#x653E;&#x5230;&#x955C;&#x50CF;&#x91CC;</a></li><li><span class="title-icon "></span><a href="#hadoop&#x76F8;&#x5173;&#x914D;&#x7F6E;&#x5982;&#x4F55;&#x653E;&#x5230;&#x955C;&#x50CF;&#x91CC;"><b></b>Hadoop&#x76F8;&#x5173;&#x914D;&#x7F6E;&#x5982;&#x4F55;&#x653E;&#x5230;&#x955C;&#x50CF;&#x91CC;</a></li><li><span class="title-icon "></span><a href="#spark-30&#x7248;&#x672C;&#x5982;&#x4F55;&#x517C;&#x5BB9;hive-12"><b></b>Spark 3.0&#x7248;&#x672C;&#x5982;&#x4F55;&#x517C;&#x5BB9;hive 1.2</a></li><li><span class="title-icon "></span><a href="#lzosnappy&#x7684;&#x95EE;&#x9898;"><b></b>LZO/Snappy&#x7684;&#x95EE;&#x9898;</a></li></ul><li><span class="title-icon "></span><a href="#&#x5982;&#x4F55;&#x914D;&#x7F6E;service&#x5B9E;&#x73B0;&#x5916;&#x90E8;&#x8BBF;&#x95EE;"><b></b>&#x5982;&#x4F55;&#x914D;&#x7F6E;Service&#x5B9E;&#x73B0;&#x5916;&#x90E8;&#x8BBF;&#x95EE;</a></li><li><span class="title-icon "></span><a href="#delete-deploy&#x540E;&#xFF0C;executor&#x7684;pod&#x8FD8;&#x5728;running"><b></b>delete deploy&#x540E;&#xFF0C;executor&#x7684;pod&#x8FD8;&#x5728;running</a></li></ul></ul></div><h1 id="k8s&#x90E8;&#x7F72;"><a name="k8s&#x90E8;&#x7F72;" class="anchor-navigation-ex-anchor" href="#k8s&#x90E8;&#x7F72;"><i class="fa fa-link" aria-hidden="true"></i></a>K8S&#x90E8;&#x7F72;</h1>
<blockquote>
<p>&#x76EE;&#x524D;&#x5B9E;&#x6D4B;Spark 3.0 &#x901A;&#x8FC7;&#x3002;&#x5EFA;&#x8BAE;&#x4F7F;&#x7528;3.0 &#x8FDB;&#x884C;K8s&#x90E8;&#x7F72;&#x3002;</p>
</blockquote>
<p>&#x5728;&#x6B63;&#x6587;&#x4E4B;&#x524D;&#xFF0C;&#x63A8;&#x8350;&#x793E;&#x533A;&#x5C0F;&#x4F19;&#x4F34;&#x7684;&#x624B;&#x628A;&#x624B;&#x6559;&#x7A0B;&#xFF1A;</p>
<ol>
<li><a href="https://mp.weixin.qq.com/s/wXz52q57KGalJZILCsS2Sw" target="_blank">15 - MLSQL on k8s&#xFF08;3&#xFF09; - MLSQL on k8s</a></li>
<li><a href="https://mp.weixin.qq.com/s?__biz=MzI5NzEwODUwNw==&amp;mid=2247483785&amp;idx=1&amp;sn=b5b8330601091804fbece2ad83ecc3e5&amp;chksm=ecbb54fddbccddeb643977b9be21fcddf3a7ffa3252520e303e29d036a30d0b713397c41c1d6&amp;scene=21#wechat_redirect" target="_blank">14 - MLSQL on k8s&#xFF08;2&#xFF09; - Spark on k8s</a></li>
<li><a href="https://mp.weixin.qq.com/s?__biz=MzI5NzEwODUwNw==&amp;mid=2247483782&amp;idx=1&amp;sn=642b036caf8ab6a07ae7cdebe347acc3&amp;chksm=ecbb54f2dbccdde4f6555f4e1c62403f073cf4e50d6aa66034700b2d9a8f97361857e518edc1&amp;scene=21#wechat_redirect" target="_blank">13 - MLSQL on k8s&#xFF08;1&#xFF09; - k8s&#x5B89;&#x88C5;</a></li>
</ol>
<p>&#x76EE;&#x524D;K8s&#x90E8;&#x7F72;&#x6709;&#x4E24;&#x79CD;&#x65B9;&#x5F0F;&#xFF1A;</p>
<ol>
<li>Spark&#x5B98;&#x65B9;&#x7684; <a href="http://spark.apache.org/docs/latest/running-on-kubernetes.html" target="_blank">spark-submit&#x65B9;&#x5F0F;</a></li>
<li>Google &#x5F00;&#x53D1;&#x7684;<a href="https://github.com/GoogleCloudPlatform/spark-on-k8s-operator" target="_blank">Operater&#x65B9;&#x5F0F;</a></li>
</ol>
<p>&#x4E24;&#x79CD;&#x65B9;&#x5F0F;&#x7684;&#x5DEE;&#x522B;&#x662F;&#xFF0C;Google&#x662F;&#x88F8;&#x9732;K8s&#x7684;&#x547D;&#x4EE4;&#x6765;&#x8FDB;&#x884C;&#x90E8;&#x7F72;&#x7684;&#xFF0C;&#x800C;Spark&#x5B98;&#x65B9;&#x5219;&#x662F;&#x901A;&#x8FC7;Spark-Submit&#x900F;&#x660E;&#x5B8C;&#x6210;K8s&#x90E8;&#x7F72;&#x7684;&#x3002;&#x53E6;&#x5916;&#xFF0C;Google&#x7684;&#x76EE;&#x524D;&#x6BD4;&#x8F83;&#x9002;&#x5408;&#x4F5C;&#x4E3A;&#x4E00;&#x6B21;&#x6027;&#x4EFB;&#x52A1;&#x63D0;&#x4EA4;&#xFF0C;Spark&#x5B98;&#x65B9;&#x7684;&#x66F4;&#x9002;&#x5408;&#x5C06;Spark&#x90E8;&#x7F72;&#x6210;&#x670D;&#x52A1;&#x3002;&#x800C;MLSQL Engine&#x4E3B;&#x8981;&#x4EE5;Service&#x65B9;&#x5F0F;&#x90E8;&#x7F72;&#xFF0C;&#x6240;&#x4EE5;&#x6211;&#x4EEC;&#x63A8;&#x8350;&#x5B98;&#x65B9;&#x7684;&#x90E8;&#x7F72;&#x6A21;&#x5F0F;&#x3002;</p>
<p>&#x5728;K8s&#x90E8;&#x7F72;MLSQL Engine&#x7684;&#x57FA;&#x672C;&#x601D;&#x8DEF;&#x662F;,&#x5C06;spark-submit&#x547D;&#x4EE4;&#x4F5C;&#x4E3A;&#x4E00;&#x4E2A;K8s Pod&#x7684;&#x542F;&#x52A8;&#x547D;&#x4EE4;&#xFF0C;&#x5C31;&#x50CF;&#x6211;&#x4EEC;&#x5E73;&#x65F6;&#x542F;&#x52A8;&#x4E00;&#x4E2A;web&#x670D;&#x52A1;&#x4E00;&#x6837;&#x3002;&#x542F;&#x52A8;&#x5B8C;&#x6210;&#x540E;&#xFF0C;spark-submit&#x4F1A;&#x81EA;&#x52A8;&#x5411;K8s &#x7533;&#x8BF7;executor Pods.</p>
<p>&#x5982;&#x679C;&#x662F;&#x624B;&#x5DE5;&#x64CD;&#x4F5C;&#xFF0C;&#x5C31;&#x662F;&#x542F;&#x52A8;&#x4E00;&#x4E2A;pod,&#x7136;&#x540E;&#x5728;&#x91CC;&#x9762;&#x8FD0;&#x884C;spark-submit&#x547D;&#x4EE4;&#xFF0C;spark-submit&#x4F1A;&#x5B8C;&#x6210;&#x5982;&#x4E0B;&#x4E24;&#x4EF6;&#x4E8B;&#xFF1A;</p>
<ol>
<li>&#x542F;&#x52A8;9003&#x7AEF;&#x53E3;&#xFF0C;&#x4E5F;&#x5C31;&#x662F;MLSQL Engine&#x7684;HTTP&#x7AEF;&#x53E3;,&#x5916;&#x90E8;&#x53EF;&#x4EE5;&#x901A;&#x8FC7;&#x8BE5;&#x7AEF;&#x53E3;&#x8BBF;&#x95EE;&#x3002;</li>
<li>&#x5411;K8s&#x7533;&#x8BF7; Executor Pods</li>
</ol>
<p>&#x6700;&#x540E;&#xFF0C;&#x6211;&#x4EEC;&#x5C06;&#x7B2C;&#x4E00;&#x4E2A;Pod&#x589E;&#x52A0;service&#x4EE5;&#x53CA;ingress&#x914D;&#x7F6E;&#x540E;&#x5C31;&#x53EF;&#x4EE5;&#x5BF9;&#x5916;&#x63D0;&#x4F9B;&#x670D;&#x52A1;&#x4E86;&#x3002;</p>
<h2 id="&#x914D;&#x7F6E;&#x6587;&#x4EF6;&#x793A;&#x4F8B;"><a name="&#x914D;&#x7F6E;&#x6587;&#x4EF6;&#x793A;&#x4F8B;" class="anchor-navigation-ex-anchor" href="#&#x914D;&#x7F6E;&#x6587;&#x4EF6;&#x793A;&#x4F8B;"><i class="fa fa-link" aria-hidden="true"></i></a>&#x914D;&#x7F6E;&#x6587;&#x4EF6;&#x793A;&#x4F8B;</h2>
<p>&#x4E0B;&#x9762;&#x662F;Deployment &#x7684;template:</p>
<pre><code class="lang-yaml"><span class="hljs-attr"> template:</span>
<span class="hljs-attr">    metadata:</span>
<span class="hljs-attr">      labels:</span>
<span class="hljs-attr">        app:</span> spark-mlsql<span class="hljs-bullet">-3</span>
<span class="hljs-attr">    spec:</span>
<span class="hljs-attr">      containers:</span>
<span class="hljs-attr">      - name:</span> spark-mlsql<span class="hljs-bullet">-3</span>
<span class="hljs-attr">        args:</span>
<span class="hljs-bullet">          -</span> &gt;-
            echo <span class="hljs-string">&quot;/opt/spark/bin/spark-submit --master k8s://https://xxx.xxx.xxx.xxx:xxxx 
            --deploy-mode client 
            --jars local:///tmp/streamingpro-mlsql-spark_3.0_2.12-1.7.0-SNAPSHOT.jar 
            --class streaming.core.StreamingApp 
            --conf spark.kubernetes.container.image=xxxxx/dev/spark-jdk-slim-14:v3.0.0 
            --conf spark.kubernetes.container.image.pullPolicy=Always 
            --conf spark.kubernetes.namespace=dev 
            --conf spark.kubernetes.authenticate.driver.serviceAccountName=xxxxx 
            --conf spark.kubernetes.container.image.pullSecrets=xxxxx 
            --conf spark.kubernetes.driver.request.cores=1 
            --conf spark.kubernetes.driver.limit.cores=1 
            --conf spark.kubernetes.executor.request.cores=1 
            --conf spark.kubernetes.executor.limit.cores=1 
            --conf spark.executor.instances=1 
            --conf spark.driver.host=$POD_IP 
            --conf spark.sql.cbo.enabled=true 
            --conf spark.sql.adaptive.enabled=true 
            --conf spark.sql.cbo.joinReorder.enabled=true 
            --conf spark.sql.cbo.planStats.enabled=true 
            --conf spark.sql.cbo.starSchemaDetection=true 
            --conf spark.driver.maxResultSize=2g 
            --conf spark.serializer=org.apache.spark.serializer.KryoSerializer 
            --conf spark.kryoserializer.buffer.max=200m 
            --conf &quot;</span>\<span class="hljs-string">&quot;spark.executor.extraJavaOptions=-XX:+UnlockExperimentalVMOptions -XX:+UseZGC -XX:+UseContainerSupport  -Dio.netty.tryReflectionSetAccessible=true\&quot;&quot;</span>  
<span class="hljs-bullet">            -</span>-conf <span class="hljs-string">&quot;\&quot;spark.driver.extraJavaOptions=-XX:+UnlockExperimentalVMOptions -XX:+UseZGC -XX:+UseContainerSupport  -Dio.netty.tryReflectionSetAccessible=true\&quot;&quot;</span> 
<span class="hljs-attr">            local:</span>///tmp/streamingpro-mlsql-spark_3<span class="hljs-number">.0</span>_2<span class="hljs-number">.12</span><span class="hljs-bullet">-1.7</span><span class="hljs-number">.0</span>-SNAPSHOT.jar 
<span class="hljs-bullet">            -</span>streaming.name spark-mlsql<span class="hljs-bullet">-3.0</span> 
<span class="hljs-bullet">            -</span>streaming.rest <span class="hljs-literal">true</span> 
<span class="hljs-bullet">            -</span>streaming.thrift <span class="hljs-literal">false</span> 
<span class="hljs-bullet">            -</span>streaming.platform spark 
<span class="hljs-bullet">            -</span>streaming.enableHiveSupport <span class="hljs-literal">true</span> 
<span class="hljs-bullet">            -</span>streaming.spark.service <span class="hljs-literal">true</span> 
<span class="hljs-bullet">            -</span>streaming.job.cancel <span class="hljs-literal">true</span> 
<span class="hljs-bullet">            -</span>streaming.datalake.path /data/mlsql/datalake 
<span class="hljs-bullet">            -</span>streaming.driver.port <span class="hljs-number">9003</span><span class="hljs-string">&quot; | bash
        command:
          - /bin/sh
          - &apos;-c&apos;
</span></code></pre>
<h3 id="&#x9700;&#x8981;&#x6CE8;&#x610F;&#x7684;&#x914D;&#x7F6E;&#x70B9;-podip"><a name="&#x9700;&#x8981;&#x6CE8;&#x610F;&#x7684;&#x914D;&#x7F6E;&#x70B9;-podip" class="anchor-navigation-ex-anchor" href="#&#x9700;&#x8981;&#x6CE8;&#x610F;&#x7684;&#x914D;&#x7F6E;&#x70B9;-podip"><i class="fa fa-link" aria-hidden="true"></i></a>&#x9700;&#x8981;&#x6CE8;&#x610F;&#x7684;&#x914D;&#x7F6E;&#x70B9;-POD_IP</h3>
<p>spark.driver.host &#x9700;&#x8981;&#x914D;&#x7F6E;&#x6210; $POD_IP,&#x5177;&#x4F53;&#x65B9;&#x5F0F;&#x5982;&#x4E0B;&#xFF1A;</p>
<pre><code class="lang-yaml"><span class="hljs-attr">        env:</span>
<span class="hljs-attr">          - name:</span> POD_IP
<span class="hljs-attr">            valueFrom:</span>
<span class="hljs-attr">              fieldRef:</span>
<span class="hljs-attr">                fieldPath:</span> status.podIP
<span class="hljs-attr">          - name:</span> NODE_IP
<span class="hljs-attr">            valueFrom:</span>
<span class="hljs-attr">              fieldRef:</span>
<span class="hljs-attr">                fieldPath:</span> status.hostIP
</code></pre>
<h3 id="&#x9700;&#x8981;&#x6CE8;&#x610F;&#x7684;&#x914D;&#x7F6E;&#x70B9;-serviceaccountname"><a name="&#x9700;&#x8981;&#x6CE8;&#x610F;&#x7684;&#x914D;&#x7F6E;&#x70B9;-serviceaccountname" class="anchor-navigation-ex-anchor" href="#&#x9700;&#x8981;&#x6CE8;&#x610F;&#x7684;&#x914D;&#x7F6E;&#x70B9;-serviceaccountname"><i class="fa fa-link" aria-hidden="true"></i></a>&#x9700;&#x8981;&#x6CE8;&#x610F;&#x7684;&#x914D;&#x7F6E;&#x70B9;-serviceAccountName</h3>
<p>&#x901A;&#x5E38;&#x5728;K8s&#x91CC;&#x9700;&#x8981;&#x914D;&#x7F6E;<code>--conf spark.kubernetes.authenticate.driver.serviceAccountName=xxxx</code>, &#x76EE;&#x7684;&#x662F;&#x4E3A;&#x4E86;&#x8FC7;K8s&#x76F8;&#x5173;&#x7684;&#x6743;&#x9650;&#x3002;</p>
<h3 id="&#x9700;&#x8981;&#x6CE8;&#x610F;&#x7684;&#x914D;&#x7F6E;&#x70B9;-java&#x53C2;&#x6570;&#x914D;&#x7F6E;"><a name="&#x9700;&#x8981;&#x6CE8;&#x610F;&#x7684;&#x914D;&#x7F6E;&#x70B9;-java&#x53C2;&#x6570;&#x914D;&#x7F6E;" class="anchor-navigation-ex-anchor" href="#&#x9700;&#x8981;&#x6CE8;&#x610F;&#x7684;&#x914D;&#x7F6E;&#x70B9;-java&#x53C2;&#x6570;&#x914D;&#x7F6E;"><i class="fa fa-link" aria-hidden="true"></i></a>&#x9700;&#x8981;&#x6CE8;&#x610F;&#x7684;&#x914D;&#x7F6E;&#x70B9;-Java&#x53C2;&#x6570;&#x914D;&#x7F6E;</h3>
<p>&#x5982;&#x679C;&#x4F60;&#x4F7F;&#x7528;JDK8&#x7684;&#x955C;&#x50CF;&#xFF0C;&#x90A3;&#x4E48;&#x9700;&#x8981;&#x79FB;&#x9664;<code>spark.executor.extraJavaOptions</code>,<code>spark.driver.extraJavaOptions</code>&#x7B49;&#x4E24;&#x4E2A;&#x914D;&#x7F6E;&#x9009;&#x9879;&#x3002;&#x4ED6;&#x4EEC;&#x662F;&#x4E3A;JDK14&#x51C6;&#x5907;&#x7684;&#x3002;</p>
<h3 id="&#x5982;&#x4F55;&#x83B7;&#x53D6;&#x914D;&#x7F6E;&#x4E2D;&#x7684;&#x955C;&#x50CF;"><a name="&#x5982;&#x4F55;&#x83B7;&#x53D6;&#x914D;&#x7F6E;&#x4E2D;&#x7684;&#x955C;&#x50CF;" class="anchor-navigation-ex-anchor" href="#&#x5982;&#x4F55;&#x83B7;&#x53D6;&#x914D;&#x7F6E;&#x4E2D;&#x7684;&#x955C;&#x50CF;"><i class="fa fa-link" aria-hidden="true"></i></a>&#x5982;&#x4F55;&#x83B7;&#x53D6;&#x914D;&#x7F6E;&#x4E2D;&#x7684;&#x955C;&#x50CF;</h3>
<p>&#x5176;&#x4E2D;&#xFF0C;&#x4E0A;&#x9762;&#x8BBE;&#x8BA1;&#x7684;&#x955C;&#x50CF;xxxxx/dev/spark-jdk-slim-14:v3.0.0&#x53EF;&#x4EE5;&#x4F7F;&#x7528;&#x5B98;&#x65B9;&#x63D0;&#x4F9B;&#x7684;&#x955C;&#x50CF;&#x5DE5;&#x5177;&#x6765;&#x83B7;&#x5F97;&#x3002;&#x5177;&#x4F53;&#x65B9;&#x5F0F;&#x5982;&#x4E0B;(&#x4EE5;Spark2.4.3&#x7248;&#x672C;&#x4E3A;&#x4F8B;)&#xFF1A;</p>
<pre><code class="lang-shell"> cd $SPARK_HOME &amp;&amp; 
     ./bin/docker-image-tool.sh -t v2.4.3 build
</code></pre>
<p>&#x4E0A;&#x9762;&#x6267;&#x884C;&#x5B8C;&#x4F1A;&#x6253;&#x4E09;&#x4E2A;images&#xFF1A;spark:v2.4.3 / spark-py:v2.4.3 / spark-r:v2.4.3</p>
<p>&#x4F60;&#x5982;&#x679C;&#x53EA;&#x9700;&#x8981;spark&#x57FA;&#x672C;&#x955C;&#x50CF;&#x5305;&#x53EF;&#x6267;&#x884C;&#xFF1A;</p>
<pre><code class="lang-shell">     cd $SPARK_HOME &amp;&amp;
     docker build -t spark:latest -f kubernetes/dockerfiles/spark/Dockerfile .
</code></pre>
<h3 id="mlsql-engine-jar&#x5305;&#x5982;&#x4F55;&#x653E;&#x5230;&#x955C;&#x50CF;&#x91CC;"><a name="mlsql-engine-jar&#x5305;&#x5982;&#x4F55;&#x653E;&#x5230;&#x955C;&#x50CF;&#x91CC;" class="anchor-navigation-ex-anchor" href="#mlsql-engine-jar&#x5305;&#x5982;&#x4F55;&#x653E;&#x5230;&#x955C;&#x50CF;&#x91CC;"><i class="fa fa-link" aria-hidden="true"></i></a>MLSQL Engine Jar&#x5305;&#x5982;&#x4F55;&#x653E;&#x5230;&#x955C;&#x50CF;&#x91CC;</h3>
<p>&#x53EF;&#x4EE5;&#x628A;MLSQL Engine Jar&#x5305;&#x4F7F;&#x7528;K8s&#x7684;Volume&#x529F;&#x80FD;&#x6302;&#x8F7D;&#x5230;pod&#x91CC;&#x53BB;&#x3002;&#x540C;&#x7406;--jars &#x76EE;&#x5F55;&#x3002;Executor&#x7684;Pod&#x4E0D;&#x9700;&#x8981;&#x6302;&#x8F7D;&#x3002;</p>
<h3 id="hadoop&#x76F8;&#x5173;&#x914D;&#x7F6E;&#x5982;&#x4F55;&#x653E;&#x5230;&#x955C;&#x50CF;&#x91CC;"><a name="hadoop&#x76F8;&#x5173;&#x914D;&#x7F6E;&#x5982;&#x4F55;&#x653E;&#x5230;&#x955C;&#x50CF;&#x91CC;" class="anchor-navigation-ex-anchor" href="#hadoop&#x76F8;&#x5173;&#x914D;&#x7F6E;&#x5982;&#x4F55;&#x653E;&#x5230;&#x955C;&#x50CF;&#x91CC;"><i class="fa fa-link" aria-hidden="true"></i></a>Hadoop&#x76F8;&#x5173;&#x914D;&#x7F6E;&#x5982;&#x4F55;&#x653E;&#x5230;&#x955C;&#x50CF;&#x91CC;</h3>
<p>&#x540C;&#x6837;&#x53EF;&#x4EE5;&#x4F7F;&#x7528;K8s Volumn&#x8FDB;&#x884C;&#x6302;&#x8F7D;&#xFF0C;&#x7136;&#x540E;&#x8BBE;&#x7F6E;&#x73AF;&#x5883;&#x53D8;&#x91CF;&#x3002;&#x4E5F;&#x53EF;&#x4EE5;&#x5C06;&#x76F8;&#x5173;&#x914D;&#x7F6E;&#x653E;&#x5230;SPARK_HOME/conf&#x91CC;&#x4E4B;&#x540E;&#x518D;&#x6267;&#x884C;&#x955C;&#x50CF;&#x6784;&#x5EFA;&#x547D;&#x4EE4;&#x3002;</p>
<h3 id="spark-30&#x7248;&#x672C;&#x5982;&#x4F55;&#x517C;&#x5BB9;hive-12"><a name="spark-30&#x7248;&#x672C;&#x5982;&#x4F55;&#x517C;&#x5BB9;hive-12" class="anchor-navigation-ex-anchor" href="#spark-30&#x7248;&#x672C;&#x5982;&#x4F55;&#x517C;&#x5BB9;hive-12"><i class="fa fa-link" aria-hidden="true"></i></a>Spark 3.0&#x7248;&#x672C;&#x5982;&#x4F55;&#x517C;&#x5BB9;hive 1.2</h3>
<p>Spark3.0&#x9ED8;&#x8BA4;&#x4E0D;&#x517C;&#x5BB9; hive 1.2 &#x9700;&#x8981;&#x81EA;&#x5DF1;&#x4ECE;Spark&#x6E90;&#x7801;&#x91CD;&#x65B0;&#x6253;&#x5305;&#x3002;&#x8B6C;&#x5982;&#x4E0B;&#x9762;&#x7684;&#x7F16;&#x8BD1;&#x53C2;&#x6570;&#x5C31;&#x6307;&#x5B9A;&#x4E86;hive-1.2&#x7684;&#x652F;&#x6301;&#xFF0C;&#x7136;&#x540E;&#x518D;&#x4F7F;&#x7528;&#x8FD9;&#x4E2A;&#x53D1;&#x884C;&#x5305;&#x6784;&#x5EFA;&#x955C;&#x50CF;&#x3002;</p>
<pre><code>git checkout -b v3.0.0 v3.0.0
./dev/make-distribution.sh \
--name hadoop2.7 \
--tgz \
-Pyarn -Phadoop-2.7 -Phive-1.2 -Phive-thriftserver -Pkubernetes \
-DskipTests
</code></pre><h3 id="lzosnappy&#x7684;&#x95EE;&#x9898;"><a name="lzosnappy&#x7684;&#x95EE;&#x9898;" class="anchor-navigation-ex-anchor" href="#lzosnappy&#x7684;&#x95EE;&#x9898;"><i class="fa fa-link" aria-hidden="true"></i></a>LZO/Snappy&#x7684;&#x95EE;&#x9898;</h3>
<p>LZO&#x7684;jar&#x5305;&#x76F4;&#x63A5;&#x4E22;SPARK_HOME/jars&#x91CC;&#x5373;&#x53EF;&#x3002;</p>
<p>Snappy&#x9700;&#x8981;&#x901A;&#x8FC7;--conf java&#x53C2;&#x6570;&#x6307;&#x5B9A;&#xFF1A;</p>
<pre><code>--conf spark.executor.extraJavaOptions=-Djava.library.path=/opt/.../lib/native/
</code></pre><p>&#x8BF7;&#x786E;&#x4FDD;&#x6240;&#x6709;&#x7684;&#x955C;&#x50CF;&#x91CC;&#x90FD;&#x6709;&#x914D;&#x7F6E;&#x7684;&#x8DEF;&#x5F84;&#x3002;</p>
<h2 id="&#x5982;&#x4F55;&#x914D;&#x7F6E;service&#x5B9E;&#x73B0;&#x5916;&#x90E8;&#x8BBF;&#x95EE;"><a name="&#x5982;&#x4F55;&#x914D;&#x7F6E;service&#x5B9E;&#x73B0;&#x5916;&#x90E8;&#x8BBF;&#x95EE;" class="anchor-navigation-ex-anchor" href="#&#x5982;&#x4F55;&#x914D;&#x7F6E;service&#x5B9E;&#x73B0;&#x5916;&#x90E8;&#x8BBF;&#x95EE;"><i class="fa fa-link" aria-hidden="true"></i></a>&#x5982;&#x4F55;&#x914D;&#x7F6E;Service&#x5B9E;&#x73B0;&#x5916;&#x90E8;&#x8BBF;&#x95EE;</h2>
<p>&#x6211;&#x4EEC;&#x53EF;&#x4EE5;&#x901A;&#x8FC7;&#x914D;&#x7F6E;service/ingress&#x6765;&#x5B9E;&#x73B0;&#x5916;&#x90E8;&#x8BBF;&#x95EE;Engine.</p>
<p>&#x9996;&#x5148;&#x662F;service.yaml&#x793A;&#x4F8B;&#xFF1A;</p>
<pre><code class="lang-yaml"><span class="hljs-attr">apiVersion:</span> v1
<span class="hljs-attr">kind:</span> Service
<span class="hljs-attr">metadata:</span>
<span class="hljs-attr">  annotations:</span> {}
<span class="hljs-attr">  name:</span> spark-mlsql
<span class="hljs-attr">  namespace:</span> dev
<span class="hljs-attr">spec:</span>
<span class="hljs-attr">  ports:</span>
<span class="hljs-attr">    - name:</span> mlsql
<span class="hljs-attr">      port:</span> <span class="hljs-number">9003</span>
<span class="hljs-attr">      targetPort:</span> <span class="hljs-number">9003</span>
<span class="hljs-attr">    - name:</span> spark
<span class="hljs-attr">      port:</span> <span class="hljs-number">4040</span>
<span class="hljs-attr">      targetPort:</span> <span class="hljs-number">4040</span>
<span class="hljs-attr">  selector:</span>
<span class="hljs-attr">    app:</span> spark-mlsql<span class="hljs-bullet">-3</span>
</code></pre>
<p>&#x63A5;&#x7740;ingress.yaml&#x793A;&#x4F8B;&#xFF1A;</p>
<pre><code class="lang-yaml"><span class="hljs-attr">apiVersion:</span> extensions/v1beta1
<span class="hljs-attr">kind:</span> Ingress
<span class="hljs-attr">metadata:</span>
<span class="hljs-attr">  name:</span> spark-mlsql-ingress
<span class="hljs-attr">  namespace:</span> dev
<span class="hljs-attr">spec:</span>
<span class="hljs-attr">  rules:</span>
<span class="hljs-attr">    - host:</span> xxxxxxxxx
<span class="hljs-attr">      http:</span>
<span class="hljs-attr">        paths:</span>
<span class="hljs-attr">        - path:</span> /
<span class="hljs-attr">          backend:</span>
<span class="hljs-attr">            serviceName:</span> spark-mlsql 
<span class="hljs-attr">            servicePort:</span> <span class="hljs-number">9003</span>
<span class="hljs-attr">    - host:</span> xxxxxxxx
<span class="hljs-attr">      http:</span>
<span class="hljs-attr">        paths:</span>
<span class="hljs-attr">        - path:</span> /
<span class="hljs-attr">          backend:</span>
<span class="hljs-attr">            serviceName:</span> spark-mlsql
<span class="hljs-attr">            servicePort:</span> <span class="hljs-number">4040</span>
</code></pre>
<h2 id="delete-deploy&#x540E;&#xFF0C;executor&#x7684;pod&#x8FD8;&#x5728;running"><a name="delete-deploy&#x540E;&#xFF0C;executor&#x7684;pod&#x8FD8;&#x5728;running" class="anchor-navigation-ex-anchor" href="#delete-deploy&#x540E;&#xFF0C;executor&#x7684;pod&#x8FD8;&#x5728;running"><i class="fa fa-link" aria-hidden="true"></i></a>delete deploy&#x540E;&#xFF0C;executor&#x7684;pod&#x8FD8;&#x5728;running</h2>
<p>&#x53EF;&#x4EE5;&#x901A;&#x8FC7;K8s&#x7684;postStart/preStop&#x5904;&#x7406;&#x51FD;&#x6570;&#x6765;&#x89E3;&#x51B3;&#x3002;&#x53EF;&#x4EE5;&#x53C2;&#x8003;<a href="https://kubernetes.io/zh/docs/tasks/configure-pod-container/attach-handler-lifecycle-event/" target="_blank">&#x8FD9;&#x7BC7;&#x6587;&#x7AE0;</a></p>
<p>&#x4E0B;&#x9762;&#x662F;&#x4E00;&#x4E2A;&#x793A;&#x4F8B;&#xFF1A;</p>
<pre><code>ifecycle:
      preStop:
        exec:
          command:
            - bash
            - &apos;-c&apos;
            - |
              kill $(jps | grep SparkSubmit | awk &apos;{print $1}&apos;)
</code></pre><p>&#x539F;&#x56E0;&#x662F;&#xFF0C;&#x76F4;&#x63A5;delete deploy,&#x53EF;&#x80FD;Driver&#x8FD8;&#x6CA1;&#x6B63;&#x5E38;stop&#x524D;&#xFF0C;K8s&#x5C31;&#x76F4;&#x63A5;&#x628A;Driver Pod&#x5E72;&#x6389;&#x4E86;,&#x5BFC;&#x81F4;&#x5176;&#x4ED6;Executor Pod&#x4E0D;&#x77E5;&#x9053;&#x8BE5;&#x5E72;&#x561B;&#x3002;</p>
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